Nongnuch Artrith

An implementation of artificial neural-network potentials for atomistic materials simulations: Performance for TiO2

Nongnuch Artrith, Alexander Urban · Computational Materials Science · 2016 · 503 citations

Materials Science, Materials Engineering, Atomistic Materials Simulations +12

Best practices in machine learning for chemistry

Nongnuch Artrith, Keith T. Butler, François‐Xavier Coudert et al. · Nature Chemistry · 2021 · 444 citations · Full text

Engineering, Machine Learning, Data Mining +5

High-dimensional neural-network potentials for multicomponent systems: Applications to zinc oxide

Nongnuch Artrith, Tobias Morawietz, Jörg Behler · Physical Review B · 2011 · 392 citations

Engineering, Material Simulation, High-dimensional Neural-network Potentials +19

High-dimensional neural network potentials for metal surfaces: A prototype study for copper

Nongnuch Artrith, Jörg Behler · Physical Review B · 2012 · 338 citations

Engineering, Material Simulation, Bulk Copper +23

Efficient and accurate machine-learning interpolation of atomic energies in compositions with many species

Nongnuch Artrith, Alexander Urban, Gerbrand Ceder · Physical review. B./Physical review. B · 2017 · 329 citations · Full text